Results 21 to 30 of about 404,164 (301)
A Stochastic Car Following Model [PDF]
AbstractCar-following models are an essential part of microscopic traffic simulations. For research regarding traffic safety, traffic simulations need to simulate traffic safety related aspects realistically. That means, for example, accidents and near accidents shall occur in the same quantity and in the same way as in reality. Such simulations can be
Kendziorra, Andreas +2 more
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A CNN-LSTM Car-Following Model Considering Generalization Ability
To explore the potential relationship between the leading vehicle and the following vehicle during car-following, we proposed a novel car-following model combining a convolutional neural network (CNN) with a long short-term memory (LSTM) network. Firstly,
Pinpin Qin +4 more
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An Extended Car-Following Model at Signalised Intersections
An extended car-following model is proposed on the basis of experimental analysis to improve the performance of the traditional car-following model and simulate a microscopic car-following behaviour at signalised intersections.
Hongxing Zhao, Ruichun He, Changxi Ma
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Identifying suitable car-following models to simulate automated vehicles on highways
This study addresses car-following models that are currently used for simulating AV and CAV. Diverse car-following models, Intelligent Driver Model (IDM), Improved IDM (IIDM), IIDM with Constant-Acceleration Heuristic (CAH), and MIcroscopic model for ...
Bumsik Kim, Kevin P. Heaslip
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Incorporating vehicle mix in stimulus-response car-following models
The objective of this paper is to incorporate vehicle mix in stimulus-response car-following models. Separate models were estimated for acceleration and deceleration responses to account for vehicle mix via both movement state and vehicle type.
Saidi Siuhi, Mohamed Kaseko
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Development of kinks in car-following models [PDF]
Many car-following models of traffic flow admit the possibility of absolute stability, a situation in which uniform traffic flow at any spacing is linearly stable. Near the threshold of absolute stability, these models can often be reduced to a modified Korteweg-deVries (mKdV) equation plus small corrections.
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A generative car-following model conditioned on driving styles
Car-following (CF) modeling, an essential component in simulating human CF behaviors, has attracted increasing research interest in the past decades. This paper pushes the state of the art by proposing a novel generative hybrid CF model, which achieves high accuracy in characterizing dynamic human CF behaviors and is able to generate realistic human CF
Yifan Zhang +4 more
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Individual variable speed limit trajectory planning considering stochastic arriving patterns
Connected vehicles enabled by communication technologies have the potential to improve traffic mobility and enhance roadway safety such that traffic information can be shared among vehicles and infrastructure. Fruitful speed advisory strategies have been
Qianwen Li, Handong Yao
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A Car-Following Driver Model Capable of Retaining Naturalistic Driving Styles
The modeling of car-following behavior is an attractive research topic in traffic simulation and intelligent transportation. The driver plays an important role in car following but is ignored by most car-following models.
Jie Hu, Sheng Luo
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A Car-Following Data Collecting Method Based on Binocular Stereo Vision
This study proposes the design, implementation, and application of a new car-following data collecting method based on binocular stereo vision system.
Yongfei Liu +3 more
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